Application of Deep Learning in Medical English Teaching Evaluation

Abstract

Although the fact that the reform of college English teaching has yielded mixed results, medical colleges have yet to achieve a breakthrough. Deep learning (DL) is a type of education that emphasizes higher-order thinking skills. It encompasses the state of learning, the learning process, and the learning outcomes. It emphasizes critical knowledge understanding, focuses on the integration of old and new knowledge, confronts real-world problems, and pays attention to reflection. This paper establishes the EMET (evaluation of medical English teaching) model based on the improved BPNN algorithm and analyzes the performance of this model using the improved BPNN algorithm. The simulation results show that the improved BPNN algorithm proposed in this paper has fast convergence speed, strong optimization ability, and generalization ability, effectively reducing the impact of human factors on index weight determination.

Optimizing decision trees for English Teaching Quality Evaluation (ETQE) using Artificial Bee Colony (ABC) optimization

“…In Ref. [ 19 ], the applications of deep learning in teaching English were investigated. In this research, a model called EMET (evaluation of medical English teaching) was presented, which includes an improved Back-Propagation Neural Network (BPNN) for ETQE based on the instructor's educational indicators and the student's learning indicators.…”

“… Ref. Year Research Goal Indicator Selection/Feature Extraction Method TQE Model [ 11 ] 2022 ETQE PCA Combination of ML models with fuzzy evaluation [ 12 ] 2022 English teaching ability Static determination SVM and PSO [ 13 ] 2021 Simulation of ETQE Static determination Gaussian process and RVM [ 14 ] 2022 ETQE and improving learning skills Static determination Gaussian process and SVM [ 15 ] 2021 online TQE Feature importance determination by decision tree SVM [ 16 ] 2021 TQE for preschool teachers Progressive and hierarchical strategy XGBoost and TS-ResNet [ 17 ] 2022 Evaluation of physical education classes in colleges Static determination Random forest [ 18 ] 2022 Improving ETQ in colleges using IoT fuzzy weighting fuzzy comprehensive evaluation [ 19 ] 2022 medical ETQE in colleges Static determination BPNN …”

Translation Strategies for English-Language Movies Under the Application of Mobile Cloud Computing Combined with Deep Learning

“…𝜉 𝑖𝑗 (𝑘) = { 𝑢. 𝜉 𝑖𝑗 (𝑘 − 1), 𝑠𝑔𝑛(Δ𝑈 𝑖𝑗 (𝑘) = 𝑠𝑔𝑛(Δ𝑈 𝑖𝑗 (𝑘 − 1)) 𝑣. 𝜉 𝑖𝑗 (𝑘 − 1), 𝑠𝑔𝑛(Δ𝑈 𝑖𝑗 (𝑘) = −𝑠𝑔𝑛(Δ𝑈 𝑖𝑗 (𝑘 − 1)) (15) 𝜉 𝑖𝑗 (𝑘) -learning rate and also defined by using the method of variable learning rate.…”

“…China has recently poured a lot of resources into creating, distributing, and managing its teaching resources' software and hardware, resulting in a parabolic growth in the quality and quantity of accessible educational materials in the nation [15]. A number of issues have surfaced as a result of China's unequal economic development, including uneven regional growth; unequal distribution; a lack of creativity; a poor updating rate; a high updating cost; an imbalanced team structure; and low user satisfaction.…”

Student Learning Behavior Recognition Incorporating Data Augmentation with Learning Feature Representation in Smart Classrooms

“…By scrutinizing and identifying student learning behaviors, educators gain valuable insights into their students' progress and learning efficacy, enabling them to fine-tune teaching strategies and methods accordingly. This ultimately cultivates a more conducive learning environment [8].…”